Filtered By:
Specialty: Information Technology
Education: Learning

This page shows you your search results in order of date. This is page number 5.

Order by Relevance | Date

Total 65 results found since Jan 2013.

Predictive analysis for identifying potentially undiagnosed post-stroke spasticity patients in United Kingdom
Conclusions Using machine learning techniques, additional unrecorded post-stroke spasticity patients were identified, increasing the condition’s prevalence in THIN from 2% to 13%. This work shows the potential for under-reporting of PSS in primary care data, and provides a method for improved identification of cases and control records for future studies. Graphical abstract
Source: Journal of Biomedical Informatics - February 29, 2016 Category: Information Technology Source Type: research

An exploratory study using an openEHR 2-level modeling approach to represent common data elements
Conclusion The findings from this research show that the openEHR archetype has structural coverage for the CDEs, namely the openEHR archetype is able to represent the CDEs and meet the functional expectations of the CDEs. This work can be used as a reference when improving CDE structure using an advanced modeling approach.
Source: Journal of the American Medical Informatics Association - January 23, 2016 Category: Information Technology Authors: Lin, C.-H., Fann, Y.-C., Liou, D.-M. Tags: Research and Applications Source Type: research

The Mobilize Center: an NIH big data to knowledge center to advance human movement research and improve mobility
Regular physical activity helps prevent heart disease, stroke, diabetes, and other chronic diseases, yet a broad range of conditions impair mobility at great personal and societal cost. Vast amounts of data characterizing human movement are available from research labs, clinics, and millions of smartphones and wearable sensors, but integration and analysis of this large quantity of mobility data are extremely challenging. The authors have established the Mobilize Center (http://mobilize.stanford.edu) to harness these data to improve human mobility and help lay the foundation for using data science methods in biomedicine. T...
Source: Journal of the American Medical Informatics Association - August 13, 2015 Category: Information Technology Authors: Ku, J. P., Hicks, J. L., Hastie, T., Leskovec, J., Re, C., Delp, S. L. Tags: Brief Communication Source Type: research

Stroke patients' utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation
Conclusions: Findings suggest that the theory-driven mechanisms underpinning the utilisation of feedback from computer-based technology for home-based upper-limb post-stroke rehabilitation are dependent on key elements of computer feedback and the personal and environmental context. The identification of these elements may therefore inform the development of technology; therapy education and the subsequent adoption of technology and a self-management paradigm; long-term self-managed rehabilitation; and importantly, improvements in the physical and psychosocial aspects of recovery.
Source: BMC Medical Informatics and Decision Making - Latest articles - June 5, 2014 Category: Information Technology Authors: Jack ParkerSusan MawsonGail MountainNasrin NasrHuiru Zheng Source Type: research

Stroke patientsÂż utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation
Conclusions: Findings suggest that the theory-driven mechanisms underpinning the utilisation of feedback from computer-based technology for home-based upper-limb post-stroke rehabilitation are dependent on key elements of computer feedback and the personal and environmental context. The identification of these elements may therefore inform the development of technology; therapy education and the subsequent adoption of technology and a self-management paradigm; long-term self-managed rehabilitation; and importantly, improvements in the physical and psychosocial aspects of recovery.
Source: BMC Medical Informatics and Decision Making - Latest articles - June 5, 2014 Category: Information Technology Authors: Jack ParkerSusan MawsonGail MountainNasrin NasrHuiru Zheng Source Type: research